A new technical paper titled “Scaling On-Device GPU Inference for Large Generative Models” was published by researchers at Google and Meta Platforms. “Driven by the advancements in generative AI, ...
Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...
In this webinar, AWS and NVIDIA explore how NVIDIA NIM™ on AWS is revolutionizing the deployment of generative AI models for tech startups and enterprises. As the demand for generative AI-driven ...
Red Hat AI Inference Server, powered by vLLM and enhanced with Neural Magic technologies, delivers faster, higher-performing and more cost-efficient AI inference across the hybrid cloud BOSTON – RED ...
AMD has published new technical details outlining how its AMD Instinct MI355X accelerator addresses the growing inference ...
The NR1® AI Inference Appliance, powered by the first true AI-CPU, now comes pre-optimized with Llama, Mistral, Qwen, Granite, and other generative and agentic AI models – making it 3x faster to ...
For business leaders and developers alike, the question isn’t why generative artificial intelligence is being deployed across industries, but how—and how can we put it to work faster and with high ...
Cerebras Systems Inc., an ambitious artificial intelligence computing startup and rival chipmaker to Nvidia Corp., said today that its cloud-based AI large language model inference service can run ...
At Constellation Connected Enterprise 2023, the AI debates had a provocative urgency, with the future of human creativity in the crosshairs. But questions of data governance also took up airtime - ...
Verses demonstrates progress in leveraging AI models using Bayesian networks and active inference that are significantly smaller, more energy efficient, and honest than Deep Neural Network approaches.
Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...
“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...